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PersonalLow Latency Speech-to-Text Platform

Real-Time AI Transcriber

Real-time transcription system capable of converting live speech into editable text with ultra-low latency streaming.

Real-Time

Architecture

WebSocket

Protocol

Ultra-Low

Latency

Personal

Type

Tech Stack

React.jsNode.jsWebSocketsSpeech-to-Text APITailwind CSS

What I Built

  • ▸Developed a real-time speech transcription application capable of processing continuous audio streams with minimal delay.
  • ▸Built a bidirectional WebSocket architecture for persistent, low-latency real-time communication between client and server.
  • ▸Designed a responsive UI that dynamically updates transcripts without lag or unnecessary re-renders during live sessions.
  • ▸Enabled transcript editing, timestamp filtering, and export capabilities for practical usability.

Scalability & Engineering

  • ▸Optimized WebSocket event handling to minimize latency in continuous speech processing pipelines.
  • ▸Designed efficient frontend rendering strategies to avoid UI bottlenecks during long transcription sessions.
  • ▸Structured backend message queues to support persistent streaming workflows reliably.

Ownership & Impact

  • ▸Independently designed and implemented the complete system architecture from scratch.
  • ▸Focused heavily on low latency, synchronization, and real-time event handling correctness.

Keywords

Real-Time SystemsWebSocketsLow Latency ArchitectureSpeech-to-TextFrontend OptimizationEvent-Driven Systems